The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2021-03-27"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "126726672 (up from 126130915 yesterday: 0.47 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "2777336 (up from 2767546 yesterday: 0.35 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 10181113

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 2.19



In- Depth Country Wise Stats (With Atleast 100000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 30218683 62062 0.21 1196567 548828 741 0.14 1.82
Brazil 12490362 85948 0.69 1551526 310550 3438 1.12 2.49
India 11971624 62714 0.53 760825 161552 312 0.19 1.35
France 4569164 42634 0.94 626921 94623 191 0.20 2.07
Russia 4460348 8783 0.20 196563 95792 382 0.40 2.15
United Kingdom 4343066 3909 0.09 117160 126813 58 0.05 2.92
Italy 3512453 23834 0.68 465691 107636 380 0.35 3.06
Spain 3255324 0 0.00 106312 75010 0 0.00 2.30
Turkey 3179115 30021 0.95 409885 30923 151 0.49 0.97
Germany 2782925 17628 0.64 280774 75915 87 0.11 2.73
Colombia 2375591 8254 0.35 102346 62790 145 0.23 2.64
Argentina 2301389 10338 0.45 154675 55368 133 0.24 2.41
Mexico 2224904 5059 0.23 99038 201429 567 0.28 9.05
Poland 2221725 31759 1.45 440380 51753 448 0.87 2.33
Iran 1846923 8120 0.44 165241 62308 85 0.14 3.37
Ukraine 1694459 29458 1.77 252002 33363 295 0.89 1.97
South Africa 1544466 1387 0.09 24260 52648 46 0.09 3.41
Peru 1520973 8589 0.57 162679 51238 206 0.40 3.37
Czechia 1511021 7714 0.51 198857 25778 139 0.54 1.71
Indonesia 1492002 4461 0.30 118166 40364 198 0.49 2.71
Netherlands 1263882 9160 0.73 133188 16592 31 0.19 1.31
Chile 969913 7592 0.79 119430 22653 66 0.29 2.34
Canada 965882 4315 0.45 76331 22830 21 0.09 2.36
Romania 932179 5869 0.63 107184 22997 162 0.71 2.47
Belgium 866063 5332 0.62 80254 22870 18 0.08 2.64
Israel 831383 0 0.00 31656 6165 0 0.00 0.74
Iraq 827157 5062 0.62 103968 14177 20 0.14 1.71
Portugal 820042 344 0.04 10630 16827 8 0.05 2.05
Sweden 780018 0 0.00 95057 13402 0 0.00 1.72
Philippines 712442 9586 1.36 121304 13159 10 0.08 1.85
Pakistan 654591 4767 0.73 64083 14215 57 0.40 2.17
Hungary 624779 10167 1.65 164963 19752 253 1.30 3.16
Switzerland 592217 0 0.00 29927 10299 1 0.01 1.74
Bangladesh 591806 3674 0.62 42082 8869 39 0.44 1.50
Jordan 582133 4399 0.76 160718 6472 98 1.54 1.11
Serbia 581617 9722 1.70 99220 5151 76 1.50 0.89
Austria 533786 3498 0.66 60915 9231 31 0.34 1.73
Morocco 494358 491 0.10 8384 8798 5 0.06 1.78
Japan 466563 2080 0.45 28929 9021 32 0.36 1.93
Lebanon 458338 2957 0.65 65110 6058 45 0.75 1.32
United Arab Emirates 453069 2304 0.51 44833 1477 5 0.34 0.33
Saudi Arabia 387794 502 0.13 8320 6643 6 0.09 1.71
Slovakia 356985 1531 0.43 34881 9426 53 0.57 2.64
Panama 353497 480 0.14 9020 6090 3 0.05 1.72
Malaysia 340642 1199 0.35 28865 1251 2 0.16 0.37
Bulgaria 327770 2537 0.78 67959 12650 49 0.39 3.86
Ecuador 322699 1248 0.39 29756 16679 47 0.28 5.17
Belarus 317631 1213 0.38 23199 2211 9 0.41 0.70
Kazakhstan 290792 1690 0.58 23135 3220 3 0.09 1.11
Georgia 279936 490 0.18 7319 3746 8 0.21 1.34
Nepal 276750 85 0.03 2095 3027 3 0.10 1.09
Bolivia 269302 591 0.22 15352 12165 22 0.18 4.52
Croatia 265901 1790 0.68 19781 5872 18 0.31 2.21
Azerbaijan 254370 1690 0.67 18005 3464 19 0.55 1.36
Greece 252590 3132 1.26 48612 7826 72 0.93 3.10
Dominican Republic 251582 250 0.10 8922 3302 4 0.12 1.31
Tunisia 249703 921 0.37 12675 8705 21 0.24 3.49
West Bank and Gaza 234748 1199 0.51 40200 2557 20 0.79 1.09
Ireland 233937 610 0.26 11238 4653 2 0.04 1.99
Denmark 227741 416 0.18 12726 2414 2 0.08 1.06
Kuwait 227178 1198 0.53 27750 1279 9 0.71 0.56
Moldova 225660 1674 0.75 31055 4785 40 0.84 2.12
Costa Rica 215178 0 0.00 8538 2931 0 0.00 1.36
Lithuania 213447 771 0.36 11648 3539 10 0.28 1.66
Slovenia 212040 1255 0.60 16954 4011 3 0.07 1.89
Paraguay 206597 1893 0.92 39628 4003 45 1.14 1.94
Egypt 199364 683 0.34 13442 11845 41 0.35 5.94
Ethiopia 198794 2173 1.11 33765 2784 15 0.54 1.40
Guatemala 193050 917 0.48 14713 6794 19 0.28 3.52
Armenia 189540 1094 0.58 15283 3450 16 0.47 1.82
Honduras 187015 678 0.36 13995 4557 21 0.46 2.44
Qatar 177135 614 0.35 10660 284 2 0.71 0.16
Nigeria 162489 101 0.06 4252 2041 2 0.10 1.26
Bosnia and Herzegovina 162032 0 0.00 26519 6220 0 0.00 3.84
Libya 156116 0 0.00 18634 2602 0 0.00 1.67
Venezuela 155663 758 0.49 13778 1555 12 0.78 1.00
Oman 153838 0 0.00 10942 1650 0 0.00 1.07
Burma 142377 37 0.03 354 3206 1 0.03 2.25
Bahrain 140818 865 0.62 14692 513 1 0.20 0.36
Kenya 129330 1152 0.90 20968 2104 6 0.29 1.63
North Macedonia 126230 1320 1.06 19398 3642 35 0.97 2.89
Albania 123641 425 0.34 11563 2204 12 0.55 1.78
Algeria 116750 93 0.08 2646 3077 3 0.10 2.64
Estonia 102738 1151 1.13 29054 860 13 1.53 0.84
Korea, South 101757 482 0.48 9286 1722 1 0.06 1.69
China 101663 17 0.02 566 4841 0 0.00 4.76
Latvia 100716 602 0.60 10707 1872 5 0.27 1.86

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 3658714 2104 0.06 61954 58815 171 0.29 1.61 92597.02 1488.53 1 in 11
Texas 2779464 3094 0.11 86773 48039 92 0.19 1.73 95857.20 1656.75 1 in 10
Florida 2039062 5883 0.29 98165 33142 26 0.08 1.63 94938.40 1543.09 1 in 11
New York 1841822 8694 0.47 154829 49928 80 0.16 2.71 94677.88 2566.52 1 in 11
Illinois 1235485 2684 0.22 38298 23498 26 0.11 1.90 97498.62 1854.35 1 in 10
Georgia 1054430 1410 0.13 32652 18926 77 0.41 1.79 99311.29 1782.54 1 in 10
Pennsylvania 1013488 5596 0.56 64361 24960 28 0.11 2.46 79166.45 1949.70 1 in 13
Ohio 1010603 1690 0.17 32867 18525 0 0.00 1.83 86456.87 1584.81 1 in 12
North Carolina 905528 0 0.00 33352 12028 0 0.00 1.33 86338.74 1146.83 1 in 12
New Jersey 892143 4662 0.53 82053 24382 24 0.10 2.73 100441.78 2745.04 1 in 10
Arizona 839334 776 0.09 14215 16912 14 0.08 2.01 110222.69 2220.91 1 in 9
Tennessee 806792 0 0.00 24586 11816 0 0.00 1.46 118069.87 1729.21 1 in 8
Michigan 723700 5245 0.73 67628 17047 24 0.14 2.36 72465.24 1706.94 1 in 14
Indiana 683076 977 0.14 16560 13011 9 0.07 1.90 101463.72 1932.65 1 in 10
Wisconsin 633663 718 0.11 12388 7274 3 0.04 1.15 108831.29 1249.31 1 in 9
Massachusetts 627556 2570 0.41 37625 17086 35 0.21 2.72 90302.28 2458.59 1 in 11
Virginia 613974 1912 0.31 29437 10178 24 0.24 1.66 71931.65 1192.43 1 in 14
Missouri 579654 596 0.10 12813 8796 4 0.05 1.52 94445.75 1433.17 1 in 11
South Carolina 548114 1444 0.26 23657 9104 12 0.13 1.66 106456.49 1768.21 1 in 9
Alabama 514072 492 0.10 14661 10526 3 0.03 2.05 104844.50 2146.77 1 in 10
Minnesota 513833 1736 0.34 24717 6903 4 0.06 1.34 91111.09 1224.02 1 in 11
Colorado 457597 1295 0.28 21835 6089 3 0.05 1.33 79461.36 1057.35 1 in 13
Louisiana 443069 0 0.00 10024 10087 0 0.00 2.28 95308.37 2169.81 1 in 10
Oklahoma 436971 0 0.00 8435 4850 0 0.00 1.11 110430.68 1225.68 1 in 9
Kentucky 424055 0 0.00 13871 6008 0 0.00 1.42 94916.30 1344.77 1 in 11
Maryland 406709 1366 0.34 20099 8246 14 0.17 2.03 67272.66 1363.95 1 in 15
Utah 384173 460 0.12 9735 2101 10 0.48 0.55 119830.95 655.34 1 in 8
Washington 361115 1449 0.40 16583 5218 0 0.00 1.44 47422.20 685.24 1 in 21
Iowa 349554 497 0.14 10025 5718 2 0.03 1.64 110791.20 1812.32 1 in 9
Arkansas 329860 165 0.05 5207 5590 7 0.13 1.69 109303.89 1852.33 1 in 9
Connecticut 305210 0 0.00 19880 7865 0 0.00 2.58 85606.01 2205.99 1 in 12
Mississippi 304420 210 0.07 7099 7000 2 0.03 2.30 102286.55 2352.03 1 in 10
Kansas 302988 0 0.00 4800 4848 0 0.00 1.60 104001.15 1664.08 1 in 10
Nevada 302918 302 0.10 6958 5236 10 0.19 1.73 98345.02 1699.91 1 in 10
Nebraska 208118 451 0.22 5465 2175 0 0.00 1.05 107587.44 1124.38 1 in 9
New Mexico 190887 171 0.09 4145 3925 2 0.05 2.06 91036.04 1871.87 1 in 11
Idaho 179428 224 0.12 6497 1954 0 0.00 1.09 100123.60 1090.36 1 in 10
Oregon 163702 408 0.25 6623 2375 2 0.08 1.45 38812.76 563.10 1 in 26
West Virginia 140316 566 0.41 7026 2631 3 0.11 1.88 78513.97 1472.18 1 in 13
Rhode Island 135775 0 0.00 7654 2608 0 0.00 1.92 128166.89 2461.86 1 in 8
South Dakota 117081 248 0.21 3703 1933 5 0.26 1.65 132345.91 2185.02 1 in 8
Puerto Rico 105893 268 0.25 4566 2112 3 0.14 1.99 33156.90 661.30 1 in 30
Montana 104097 117 0.11 3441 1436 1 0.07 1.38 97398.15 1343.59 1 in 10
North Dakota 102536 154 0.15 2179 1498 0 0.00 1.46 134550.73 1965.72 1 in 7
Delaware 93701 376 0.40 5562 1544 8 0.52 1.65 96225.57 1585.60 1 in 10
New Hampshire 82745 371 0.45 6050 1235 4 0.32 1.49 60854.84 908.28 1 in 16
Alaska 62161 0 0.00 2876 313 0 0.00 0.50 84972.22 427.86 1 in 12
Wyoming 56046 0 0.00 1282 695 0 0.00 1.24 96838.23 1200.85 1 in 10
Maine 49653 210 0.42 4014 736 5 0.68 1.48 36938.37 547.53 1 in 27
District of Columbia 44051 226 0.52 2778 1056 1 0.09 2.40 62417.38 1496.28 1 in 16
Hawaii 29712 104 0.35 1652 461 3 0.66 1.55 20984.95 325.59 1 in 48
Vermont 18623 125 0.68 2659 224 0 0.00 1.20 29845.08 358.98 1 in 34

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 52962296 3658714 6.91 3667793 61954 1.69 1340402.8
2 Texas 21021275 2779464 13.22 1201223 86773 7.22 724974.5
3 Florida 20584791 2039062 9.91 -1601972 98165 -6.13 958424.6
4 New York 43852610 1841822 4.20 4658410 154829 3.32 2254220.2
5 Illinois 19972391 1235485 6.19 1479543 38298 2.59 1576126.4
6 Georgia 7715982 1054430 13.67 400505 32652 8.15 726728.3
7 Pennsylvania 11500247 1013488 8.81 870963 64361 7.39 898317.2
8 Ohio 10852610 1010603 9.31 664932 32867 4.94 928438.5
9 North Carolina 10373834 905528 8.73 723650 33352 4.61 989106.7
10 New Jersey 12013468 892143 7.43 1020157 82053 8.04 1352534.4
11 Arizona 8427112 839334 9.96 564117 14215 2.52 1106661.9
12 Tennessee 7159980 806792 11.27 303399 24586 8.10 1047826.4
13 Michigan 11320550 723700 6.39 735815 67628 9.19 1133544.8
14 Indiana 8730919 683076 7.82 559697 16560 2.96 1296885.8
15 Wisconsin 7516428 633663 8.43 479347 12388 2.58 1290942.6
16 Massachusetts 18420376 627556 3.41 1791762 37625 2.10 2650603.4
17 Virginia 6398177 613974 9.60 401349 29437 7.33 749594.4
18 Missouri 4821095 579654 12.02 280028 12813 4.58 785523.7
19 South Carolina 5529737 548114 9.91 402930 23657 5.87 1074003.5
20 Alabama 2393751 514072 21.48 77624 14661 18.89 488203.3
21 Minnesota 7574941 513833 6.78 516908 24717 4.78 1343162.3
22 Colorado 6858849 457597 6.67 515489 21835 4.24 1191033.8
23 Louisiana 5979604 443069 7.41 305458 10024 3.28 1286269.9
24 Oklahoma 3736115 436971 11.70 173497 8435 4.86 944185.6
25 Kentucky 4163939 424055 10.18 194040 13871 7.15 932015.2
26 Maryland 8633225 406709 4.71 609147 20099 3.30 1427999.0
27 Utah 3051449 384173 12.59 156367 9735 6.23 951805.7
28 Washington 5802332 361115 6.22 457930 16583 3.62 761971.6
29 Iowa 1362059 349554 25.66 38690 10025 25.91 431704.8
30 Arkansas 2838261 329860 11.62 110158 5207 4.73 940498.9
31 Connecticut 7076592 305210 4.31 556226 19880 3.57 1984859.0
32 Mississippi 1819108 304420 16.73 62989 7099 11.27 611228.8
33 Kansas 1310866 302988 23.11 40319 4800 11.91 449957.0
34 Nevada 2918969 302918 10.38 164637 6958 4.23 947669.2
35 Nebraska 2560074 208118 8.13 148529 5465 3.68 1323440.6
36 New Mexico 2960934 190887 6.45 202940 4145 2.04 1412100.8
37 Idaho 671075 179428 26.74 26279 6497 24.72 374470.2
38 Oregon 4132028 163702 3.96 333961 6623 1.98 979678.9
39 West Virginia 2434554 140316 5.76 216066 7026 3.25 1362257.3
40 Rhode Island 3437769 135775 3.95 349788 7654 2.19 3245134.6
41 South Dakota 728033 117081 16.08 29577 3703 12.52 822953.2
43 Montana 1190365 104097 8.74 93452 3441 3.68 1113762.6
44 North Dakota 1459175 102536 7.03 36638 2179 5.95 1914772.0
45 Delaware 1542258 93701 6.08 124940 5562 4.45 1583810.9
46 New Hampshire 1613264 82745 5.13 131776 6050 4.59 1186475.7
47 Alaska 1873407 62161 3.32 141779 2876 2.03 2560891.0
48 Wyoming 679984 56046 8.24 30691 1282 4.18 1174900.1
49 Maine 1748502 49653 2.84 103915 4014 3.86 1300763.6
50 District of Columbia 1353753 44051 3.25 106116 2778 2.62 1918179.1
51 Hawaii 1244173 29712 2.39 107778 1652 1.53 878732.7
52 Vermont 1291820 18623 1.44 184524 2659 1.44 2070260.9

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 8004306 722957 4884 0.68 9.03 7124 852 106627 30387 4.20
Veneto 6061958 377259 1759 0.47 6.22 1545 254 39231 10517 2.79
Campania 3530176 330436 2209 0.67 9.36 1594 168 96101 5189 1.57
Emilia-Romagna 4754658 329041 2269 0.69 6.92 3467 400 72061 11706 3.56
Piemonte 3231331 302074 2636 0.88 9.35 3767 360 35585 10180 3.37
Lazio 5038994 278815 1825 0.66 5.53 2872 364 50291 6515 2.34
Toscana 3339047 190267 1467 0.78 5.70 1496 264 27303 5239 2.75
Puglia 1830453 186949 2008 1.09 10.21 1774 231 45637 4679 2.50
Sicilia 3098896 170698 890 0.52 5.51 813 127 16412 4558 2.67
Friuli Venezia Giulia 1595003 95652 672 0.71 6.00 645 82 15851 3241 3.39
Liguria 1212021 87723 529 0.61 7.24 619 66 6659 3841 4.38
Marche 988038 86493 723 0.84 8.75 812 148 10073 2579 2.98
P.A. Bolzano 1083140 68550 99 0.14 6.33 94 27 906 1110 1.62
Abruzzo 1223572 64281 348 0.54 5.25 623 83 10413 2074 3.23
Umbria 963064 50349 222 0.44 5.23 372 57 5187 1243 2.47
Calabria 657338 45744 508 1.12 6.96 361 37 10027 795 1.74
Sardegna 952409 44406 287 0.65 4.66 177 32 13672 1223 2.75
P.A. Trento 693130 40602 215 0.53 5.86 203 44 3308 1276 3.14
Basilicata 288548 19000 133 0.70 6.58 157 14 4721 433 2.28
Molise 182521 12159 31 0.26 6.66 74 17 1022 431 3.54
Valle d’Aosta 92060 8998 125 1.41 9.77 32 8 791 420 4.67

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Ontario 345473 2336 0.68 7285 11 0.15 2.11 23482.67 495.18 1 in 43
Quebec 307394 1009 0.33 10645 8 0.08 3.46 36004.42 1246.83 1 in 28
Alberta 145696 668 0.46 1980 1 0.05 1.36 33014.09 448.66 1 in 30
British Columbia 95677 0 0.00 1449 0 0.00 1.51 18720.12 283.51 1 in 53
Manitoba 33867 57 0.17 933 1 0.11 2.75 24585.54 677.31 1 in 41
Saskatchewan 32783 224 0.69 430 0 0.00 1.31 27743.03 363.89 1 in 36
Nova Scotia 1709 5 0.29 66 0 0.00 3.86 1748.41 67.52 1 in 572
New Brunswick 1571 12 0.77 30 0 0.00 1.91 2014.12 38.46 1 in 496
Newfoundland and Labrador 1015 0 0.00 6 0 0.00 0.59 1946.81 11.51 1 in 514
Nunavut 395 0 0.00 4 0 0.00 1.01 NA NA 1 in NA
Prince Edward Island 156 4 2.63 0 0 NaN 0.00 986.36 0.00 1 in 1014
Yukon 73 0 0.00 1 0 0.00 1.37 1777.11 24.34 1 in 563
Northwest Territories 47 0 0.00 0 0 NaN 0.00 1046.68 0.00 1 in 955
Repatriated Travellers 13 0 0.00 0 0 NaN 0.00 NA NA 1 in NA

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 92355.39 1677.35 1 in 11
Brazil 59676.84 1483.76 1 in 17
India 8940.72 120.65 1 in 112
France 68206.66 1412.49 1 in 15
Russia 30867.46 662.92 1 in 32
United Kingdom 65368.24 1908.68 1 in 15
Italy 58076.27 1779.70 1 in 17
Spain 69766.91 1607.59 1 in 14
Turkey 39340.61 382.66 1 in 25
Germany 33614.27 916.96 1 in 30
Colombia 48412.29 1279.60 1 in 21
Argentina 51985.29 1250.69 1 in 19
Mexico 17220.62 1559.05 1 in 58
Poland 58497.24 1362.64 1 in 17
Iran 22756.57 767.72 1 in 44
Ukraine NA NA 1 in NA
South Africa 27229.65 928.21 1 in 37
Peru 47279.24 1592.73 1 in 21
Czechia 141879.91 2420.47 1 in 7
Indonesia 5651.52 152.89 1 in 177

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
Los Angeles California 1217775 23080 1.90
Maricopa Arizona 523088 9640 1.84
Cook Illinois 493968 9628 1.95
Miami-Dade Florida 441275 5797 1.31
Harris Texas 374152 5747 1.54
Riverside California 293831 4248 1.45
Dallas Texas 290796 3826 1.32
San Bernardino California 290505 4288 1.48
San Diego California 269275 3540 1.31
Orange California 265653 4711 1.77
Tarrant Texas 249921 3258 1.30
Kings New York 241948 9583 3.96
Queens New York 241417 9239 3.83
Clark Nevada 233889 4095 1.75
Broward Florida 211935 2623 1.24
Bexar Texas 203523 3288 1.62
Suffolk New York 179524 3229 1.80
Nassau New York 165095 3032 1.84
Bronx New York 162068 6184 3.82
Salt Lake Utah 143233 818 0.57
Palm Beach Florida 130358 2635 2.02
El Paso Texas 128923 2534 1.97
Philadelphia Pennsylvania 127770 3244 2.54
Orange Florida 122410 1174 0.96
New York New York 120892 4181 3.46
Middlesex Massachusetts 120686 3624 3.00
Hillsborough Florida 120274 1601 1.33
Westchester New York 118001 2188 1.85
Franklin Ohio 116888 1316 1.13
Wayne Michigan 114811 4244 3.70
Santa Clara California 114183 1934 1.69
Pima Arizona 112265 2344 2.09
Milwaukee Wisconsin 109788 1300 1.18
Hennepin Minnesota 106737 1643 1.54
Kern California 105994 1211 1.14
Mecklenburg North Carolina 101603 906 0.89
Cuyahoga Ohio 101088 1991 1.97
Fresno California 98731 1601 1.62
Sacramento California 97040 1599 1.65
Gwinnett Georgia 96379 1052 1.09
Marion Indiana 93174 1693 1.82
Utah Utah 92702 361 0.39
St. Louis Missouri 92216 2082 2.26
Duval Florida 92143 1293 1.40
Fulton Georgia 91185 1260 1.38
Shelby Tennessee 89964 1550 1.72
King Washington 89636 1458 1.63
Bergen New Jersey 89471 2718 3.04
Essex Massachusetts 88521 2278 2.57
Fairfield Connecticut 87890 2106 2.40
Providence Rhode Island 87520 1902 2.17
Collin Texas 86161 788 0.91
Oakland Michigan 84984 2054 2.42
Davidson Tennessee 84917 890 1.05
Hidalgo Texas 84460 2754 3.26
Allegheny Pennsylvania 84210 1800 2.14
Suffolk Massachusetts 83704 1781 2.13
Essex New Jersey 83318 2776 3.33
Oklahoma Oklahoma 83161 821 0.99
Alameda California 83043 1395 1.68
Middlesex New Jersey 81865 2190 2.68
DuPage Illinois 81165 1228 1.51
Wake North Carolina 79559 677 0.85
Ventura California 79472 969 1.22
New Haven Connecticut 79060 1992 2.52
Travis Texas 78828 945 1.20
Hudson New Jersey 78431 2103 2.68
Prince George’s Maryland 77370 1383 1.79
Jefferson Kentucky 76218 1079 1.42
Hamilton Ohio 76003 1142 1.50
Hartford Connecticut 74654 2341 3.14
Jefferson Alabama 74465 1455 1.95
Cobb Georgia 73482 984 1.34
Tulsa Oklahoma 72378 774 1.07
Erie New York 72357 1647 2.28
Pinellas Florida 71499 1543 2.16
Denton Texas 71484 721 1.01
Fairfax Virginia 70898 1036 1.46
Worcester Massachusetts 69741 2141 3.07
San Joaquin California 69448 1250 1.80
Macomb Michigan 69100 2020 2.92
Greenville South Carolina 68760 938 1.36
Will Illinois 68028 941 1.38
Ocean New Jersey 67110 1985 2.96
Monmouth New Jersey 66583 1483 2.23
Montgomery Maryland 66250 1468 2.22
Douglas Nebraska 66191 652 0.99
Contra Costa California 65065 761 1.17
Richmond New York 64571 1680 2.60
Denver Colorado 63651 781 1.23
Passaic New Jersey 63225 1776 2.81
Union New Jersey 63096 1846 2.93
Fort Bend Texas 62851 628 1.00
Lee Florida 61968 910 1.47
Lake Illinois 61869 949 1.53
DeKalb Georgia 60835 927 1.52
Polk Florida 60602 1237 2.04
Bristol Massachusetts 59199 1627 2.75
Montgomery Pennsylvania 58804 1603 2.73
Stanislaus California 58602 992 1.69

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc